Analysis of Repeated-Measures Data: Investigating the Impact of Time and Gender on Test Scores Over a 12-Week Period

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Analysis of Repeated-Measures Data: Investigating the Impact of Time and Genderon Test Scores Over a 12-Week PeriodActivity #6 consists of two parts. In the first part, you will utilize an existing dataset to analyze thedataset fromrepeated-measures experimental design. All SPSS output should be pasted into your Worddocument. In the second part, you will be asked to create a dataset for a hypothetical repeated-measures experimental design. Finally, you will answer questions about your hypothetical dataset.Part A. SPSS ActivityThe “Activity 6.sav” file contains a dataset of a high school teacher interested in determining whether hisstudents’ test scores increase over the course of a 12 week period. In the dataset, you will find thefollowing variables:Participant: unique identifierGender: Male (M) or Female (F)Score_0–score on the initial course pre-test (first day of class)Score_2–score at the end of week 2Score_4–score at the end of week 4Score_6–score at theend of week 6Score_8–score at the end of week 8Score_10–score at the end of week 10Score_12–score at the end of the course (week 12)Activity #6 1. Exploratory Data Analysis. a. Perform exploratory data analysis on the relevant variables inthe dataset. When possible, include appropriate graphs to help illustrate the dataset.Descriptive StatisticsNMinimumMaximumMeanStd. DeviationPre-test score12165929.5812.221Week 2 score12226033.0810.113Week 4 score12276335.429.885Week 6 score12206035.6710.671Week 8 score12286539.929.718Week 10 score12336745.678.690Week 12 score12347350.0010.189Valid N (listwise)12

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GenderFemaleMaleMeanMeanPre-test score2832Week 2 score3040Week 4 score3439Week 6 score3635Week 8 score3941Week 10 score4547Week 12 score4853.0010.0020.0030.0040.0050.0060.00Pre-testscoreWeek 2scoreWeek 4scoreWeek 6scoreWeek 8scoreWeek 10scoreWeek 12scoreMean ScoreOveall Mean Score

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b.Give a one to two paragraph write up of the data once you have done thisc. Create an APA style tablethat presents descriptive statistics for the sample.From the above analysis and graphs we can easily see that the mean score of the participants areincreasing with the increase over the course duration. So mean score is going high as the weeks areincreasing from 0 to 12. The same thing is represented by the line graphs. First table is a descriptivestatistics table with taking all participants together; second table is a divided with the gender of theparticipants.Similarly we have graphs shown above with taking all the participants as well as the participants withmales and females. All are showing the increasing trend in the mean score. It clearly indicates that themean score is increasing overall as well as within each category.0102030405060Pre-testscoreWeek 2scoreWeek 4scoreWeek 6scoreWeek 8scoreWeek 10scoreWeek 12scoreMean ScoreMean Score for Males0102030405060Pre-testscoreWeek 2scoreWeek 4scoreWeek 6scoreWeek 8scoreWeek 10scoreWeek 12scoreMean ScoreMean Score for Females

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2. Repeated-Measures ANOVA. Perform a repeated-measures ANOVA using the “Activity 6.sav” data set.You will use Score_0 through Score_12 as your repeated measure (7 levels), and gender as a fixedfactor.Within-Subjects FactorsMeasure:MEASURE_1SCOREDependentVariabledimension11Score_02Score_23Score_44Score_65Score_86Score_107Score_12Between-Subjects FactorsValue LabelNGenderFFemale8MMale4

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